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Model: Hate-speech-CNERG/dehatebert-mono-arabic

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Hate-speech-CNERG/dehatebert-mono-arabic Hate-speech-CNERG/dehatebert-mono-arabic
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pytorch

tf

Contributed by

Hate-speech mitigation team @CNERG university
4 team members · 2 models

How to use this model directly from the 🤗/transformers library:

			
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tokenizer = AutoTokenizer.from_pretrained("Hate-speech-CNERG/dehatebert-mono-arabic") model = AutoModel.from_pretrained("Hate-speech-CNERG/dehatebert-mono-arabic")

This model is used detecting hatespeech in Arabic language. The mono in the name refers to the monolingual setting, where the model is trained using only Arabic language data. It is finetuned on multilingual bert model. The model is trained with different learning rates and the best validation score achieved is 0.8674776 for a learning rate of 2e-5. Training code can be found at this url